Graph neural networks teach AI to read breast cancer slides like pathologists
Researchers at the University of Naples Federico II have developed a hierarchical graph neural network framework that represents breast tissue ...
Researchers at the University of Naples Federico II have developed a hierarchical graph neural network framework that represents breast tissue ...
A new editorial in Cancer Causes & Control argues that the most powerful tools against breast, ovarian, cervical, and endometrial ...
Researchers have developed fourth-generation CAR T cells targeting mucin 1 that show superior proliferation, reduced exhaustion, and enhanced tumor-killing activity ...
A new first-person account in the Journal of Cancer Survivorship describes the emotional toll of pregnancy planning and loss after ...
Thomas Jefferson University researchers found that women in a lung cancer screening program with the greatest smoking and cancer histories ...
A new transformer-based framework called THIMDA fuses multi-modal microRNA and disease representations to predict disease associations with high accuracy.
A new study shows that targeted axillary dissection delivers equivalent recurrence, survival, and mortality outcomes compared with full axillary lymph ...
A Malaysian study of 241 early breast cancer patients finds that higher levels of tumour-infiltrating lymphocytes are linked to lower ...
A mixed-methods study embedded in the FASTRACS randomized controlled trial found that personalized reminders, printed questionnaires and phone-based completion, co-designed ...
Researchers have developed CRISGI, a computational framework that detects critical transient gene interactions presaging abrupt disease shifts across bulk, single-cell, ...
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© 2025 Scienmag - Science Magazine